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Method for Assigning and Handling of Energy Outage Retention ID´s

Publishing Venue

Siemens

Related People

Juergen Carstens: CONTACT

Abstract

Modern power plants, producing electrical energy, provide energy to consumers such as private households, hospitals and industrial bulk consumers. Sophisticated algorithms used in the control center software of energy management facilities allow a prediction of the energy consumption, so that a sufficient amount of energy will be available at each point of time. Such algorithms are often based on historical data, which allow forecasting the energy consumption. As energy cannot be easily stored, the objective of energy management facilities is to have the exact amount of energy available to the network which is needed to supply all of its consumers. State of the art solutions of control center software reach this goal almost in perfection. However, different scenarios may lead to an imbalance between generated and consumed energy. Furthermore, power plant outages cannot be planned in a satisfying manner based solely on historical data, and a sudden increase of energy consumption may thus be unpredictable. Nowadays power plants are manufactured with a higher guaranteed Mean Time Between Failure (MTBF), which reduces the number of outages. But none the less, a risk still remains. In case of a sudden increase of energy demand, state of the art power management procedures require that energy from power plants of other regional areas is fed into the network which experiences the lack of energy. However, this requires capacities from other power plants, which may not be available at that point of time.

Copyright

SIEMENS AG 2010

Country

Germany

Language

English (United States)

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Method for Assigning and Handling of Energy Outage Retention ID´s

Idea: Bernd Steiner, DE-Nuremberg

Modern power plants, producing electrical energy, provide energy to consumers such as private households, hospitals and industrial bulk consumers. Sophisticated algorithms used in the control center software of energy management facilities allow a prediction of the energy consumption, so that a sufficient amount of energy will be available at each point of time. Such algorithms are often based on historical data, which allow forecasting the energy consumption. As energy cannot be easily stored, the objective of energy management facilities is to have the exact amount of energy available to the network which is needed to supply all of its consumers. State of the art solutions of control center software reach this goal almost in perfection. However, different scenarios may lead to an imbalance between generated and consumed energy. Furthermore, power plant outages cannot be planned in a satisfying manner based solely on historical data, and a sudden increase of energy consumption may thus be unpredictable. Nowadays power plants are manufactured with a higher guaranteed Mean Time Between Failure (MTBF), which reduces the number of outages. But none the less, a risk still remains. In case of a sudden increase of energy demand, state of the art power management procedures require that energy from power plants of other regional areas is fed into the network which experiences the lack of energy. However, this requires capacities from other power plants, which may not be available at that point of time.

In the following a novel energy management method based on so called Energy outage retention IDentifiers (EorID) is proposed, where consumers are categorized by key data such as:

• importance for life and limb and

• economical importance.

Based on the key data acquired for each single energy customer an EorID is assigned to that customer. The proposed EorID´s define the order of disconnecting energy consumers from the electrical power supply in case of instability or outages in the power distribution network. Thus further instabilities and outages within the network can be avoided. The higher a specific EorID is, the later an energy consumer will be disconnected from the electrical power supply in case of instability or outages in the network. Thus the consumer´s retention is longer. The lower the EorID is, the earlier an energy consumer will be disconnected from the electrical power supply in case of instability or outages in the network. Thus the consumer´s retention is shorter.

The proposed energy management method is based on the fact that institutions which are important for life and limb need to be disconnected from the electrical power supply as late as possible. Such institutions should, in the best case, not be disconnected at all. Furthermore, institutions with a high economical importance shall as well be disconnected late...